Abstract: In an aspect, a method, an apparatus, and a computer program product for wireless communication are provided. The apparatus codes a peer discovery message for peer discovery. The apparatus generates a plurality of different redundancy versions of the coded peer discovery message. The apparatus transmits each of the different redundancy versions of the coded peer discovery message in a different allocated time period. In another aspect, a method, an apparatus, and a computer program product for wireless communication are provided. The apparatus receives at least one redundancy version of a coded peer discovery message. The apparatus attempts to decode the received at least one redundancy version of the coded peer discovery message.

Abstract: A method and system for increasing accuracy in estimating average time taken to travel through a chosen road segment is provided. The method includes determination of time taken by one or more vehicles to travel through the road segments. Further, correlated road segments for which time taken to travel through the correlated road segments is correlated with the time taken to travel through the chosen road segment, are identified. A data repository stores a list of the one or more correlated road segments. Among the correlated road segments, one or more preferred road segments that increases the accuracy in determining the average time taken to travel through the chosen road segment, is determined by at least one processor. Further, the processor estimates the average time taken to travel through the chosen road segment using, data corresponding to time taken to travel through, the preferred road segments and the chosen road segment.

Abstract: A method and system is provided for predicting at a current time “t”, a time that may be taken to travel between plurality of locations, at a future time-point “t+?”. The method includes determining deterministic component “?t+?” and predicting random fluctuation component “ylt+?”, of the time that may be taken to travel between the plurality of locations at the future time-point “t+?”. The deterministic component “?t+?” and the random fluctuation component “ylt+?” are added to predict the time that may be taken to travel between the plurality of locations, at the future time-point “t+?”.

Abstract: A method and system for increasing accuracy in estimating average time taken to travel through a chosen road segment is provided. The method includes determination of time taken by one or more vehicles to travel through the road segments. Further, correlated road segments for which time taken to travel through the correlated road segments is correlated with the time taken to travel through the chosen road segment, are identified. A data repository stores a list of the one or more correlated road segments. Among the correlated road segments, one or more preferred road segments that increases the accuracy in determining the average time taken to travel through the chosen road segment, is determined by at least one processor. Further, the processor estimates the average time taken to travel through the chosen road segment using, data corresponding to time taken to travel through, the preferred road segments and the chosen road segment.

Abstract: A method and system is provided for predicting at a current time “t”, a time that may be taken to travel between plurality of locations, at a future time-point “t+?”. The method includes determining deterministic component “?t+?” and predicting random fluctuation component “y1t+?”, of the time that may be taken to travel between the plurality of locations at the future time-point “t+?”. The deterministic component “?t+?” and the random fluctuation component “y1t+?” are added to predict the time that may be taken to travel between the plurality of locations, at the future time-point “t+?”.